**
**

Software,
DSC Curve Solutions^{®}, developed by ** CaoTechnology, **represents a novel
approach for thermal analysis that allows you to simulate DSC
curves
vividly for experiments under any conditions for a
range of given thermal events; so that you can extract
the sample properties by fitting DSC curves with

How can it be useful ?

· It obtains sample thermal properties by fitting FULL DSC curves with DCS curves - integrating interpretation and verification into one;

· It obtains all the relevant thermal properties from any single DSC run; now you can determine curing and crystallisation kinetics from any single non-isothermal DSC run;

· It covers a range of thermal events i.e. heat capacity, glass transition, enthalpy relaxation, melting and crystallisation, curing and reactions; furthermore its multi-component function allows you to deconvolute complex DSC curves readily;

· It solves your headache when observing a "shifting" "baseline" before and after an endotherm or exotherm that makes your determination of the endotherm or exotherm inaccurate and inconsistent. DCS tells you why the "baseline" "shifts" and makes perfect fitting.

· It is a perfect aid to learn and teach DSC and polymers - you will have
a better understanding of the both.

· No training, no tutorial and no help would be needed, you'll become an instant expert of DCS.

It is truely a revolution in Non-isothermal Kinetics ! It is truly a ...

Example 1a:

Specific heat

Melting peak temperature,

Half width of the Gaussian crystallite size distribution, m

Asymmetric factor of the Gaussian crystallite size distribution = 0.03,

and the Thermal Transfer Coefficient, l = 0.0031 J/Ks.

Example 1b:

Specific heat capacity,

Melting enthalpy, Δ

Half width of the Gaussian crystallite size distribution, m

Crystallisation rate factor,

half width of the crystallisation rate distribution,

Furthermore, assuming the melting enthalpy, Δ

Example 1c:

Domain 1: Denaturation enthalpy, ΔH = 12.5 J/g, peak temperature, T

Half width of the Gaussian distribution, m

Domain 2: Denaturation enthalpy, ΔH = 5.4 J/g, peak temperature, T

Half width of the Gaussian distribution, m

Curing enthalpy, Δ

**
Example 4:
**DSC has been working for Steve years and
years. Steve wants now to show how the Thermal Transfer Coefficient
(TTC), λ, has been working for DSC. He runs 3 simulations
with different λ values for a given sample under a given set of DSC conditions.
As shown in the following figure, the DSC curves vary with λ due to the
intrinsic transient effect of DSC measurements that is undesirable. Steve
further assumes a sample with step up and a step down changes in its specific
heat capacity over a temperature range. He obtains the numerical experimental
DSC curves shown below. Steve thus concludes a high λ is desirable to obtain
DSC curves with less distortion.

**
Q: What is the key performance indicator of a DSC
instrument ?
**

**
A: Higher
λ -- The shorter the starting tail, the better the DSC
instrument is !**

Example 5:

How does it operate ?

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__Australia__